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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
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    Explanations

    terms related to legal matters or law enforcement, particularly regarding ongoing investigations or votes

    oai_token-act-pair · gpt-3.5-turbo

    references to the Eiffel Tower

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.74
     srfAttach
    -0.68
    ãĤ®
    -0.68
     Vulkan
    -0.65
     shatter
    -0.64
     Sochi
    -0.62
     recurring
    -0.61
    kaya
    -0.61
     solidly
    -0.61
     conditioning
    -0.61
    POSITIVE LOGITS
    iff
    1.16
    iculty
    1.12
    iffs
    1.08
    inois
    1.03
    erences
    0.89
    icult
    0.88
    erence
    0.85
    ginx
    0.84
    ness
    0.83
    yll
    0.81
    Activations Density 0.011%

    No Known Activations